Abstract

Implementations of Signal Processing Kernels using Stream Virtual Machine for Raw Processor Page 1 1/22 Implementations of Signal Processing Kernels using Stream Virtual Machine for Raw Processor Jinwoo Suh, Stephen P. Crago, Dong-In Kang, and Janice O. McMahon University of Southern California Information Sciences Institute September 20, 2005 Page 2 2/22 Outline ∎ Stream Virtual Machine (SVM) framework □ What is the SVM? Why is it useful? ∎ Raw processor ∎ Signal processing kernels implementation results □ Ground Moving Target Indicator (GMTI) □ Matrix multiplication ∎ Conclusions Page 3 3/22 Stream Processing ∎ Stream processing □ Processes input stream data and generates output stream data ● Ex.: multimedia processing □ Exploits the properties of the stream applications ● Parallelism ● Throughput-oriented ∎ Stream Virtual Machine (SVM) framework □ Developed by …

Date

September 20, 2005

Authors

Jinwoo Suh, Stephen P Crago, Dong-In Kang, Janice O McMahon